At the Intersection of Syria and Canada
Bibliographic record
Abstract
It was my daughter’s idea. She had seen the heartbreaking images\nof Alan Kurdi, the little boy who had drowned trying to escape\nthe war in Syria, his lifeless body washed up on a Turkish beach.\nDressed in shorts and a t-shirt, he was still wearing his sneakers.A few weeks later Justin Trudeau announced that Canada would\naccept 25,000 Syrian refugees by the end of February 2016, a\nnumber that has since grown to 40,000. When the local CBC\nreported that several hundred refugees would be coming to\nFredericton in less than a month and that the Multicultural\nAssociation was desperate for volunteers, we also learned that\nwe were not social workers or care providers, as First Fredericton\nFriends we were to be just that: friends.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.026 | 0.007 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".